Evidence map›Paper›PMID 33339208›Full record

ArticleInternational journal of environmental research and public health2020

Job Demand-Control-Support Latent Profiles and Their Relationships with Interpersonal Stressors, Job Burnout, and Intrinsic Work Motivation.

Igor Portoghese, Maura Galletta, Michael P Leiter, Gabriele Finco, Ernesto d'Aloja, Marcello Campagna

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Igor PortogheseDepartment of Medical Sciences and Public Health, University of Cagliari, 09124 Cagliari, Italy.ORCID 0000-0003-3700-8594
Maura GallettaDepartment of Medical Sciences and Public Health, University of Cagliari, 09124 Cagliari, Italy.
Michael P LeiterSchool of Psychology, Deakin University, Geelong 3220, Australia.ORCID 0000-0001-5680-0363
Gabriele FincoDepartment of Medical Sciences and Public Health, University of Cagliari, 09124 Cagliari, Italy.
Ernesto d'AlojaDepartment of Medical Sciences and Public Health, University of Cagliari, 09124 Cagliari, Italy.ORCID 0000-0003-4456-6252
Marcello CampagnaDepartment of Medical Sciences and Public Health, University of Cagliari, 09124 Cagliari, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the Job Demand-Control-Support (JDCS) model, the combination of job demands, job control, and social support was hypothesized to lead to eight different constellations of job types. According to the model, these constellations are linked to wellbeing/health and learning outcomes. In the last three decades, these constellations of job types have been investigated by adopting a variable-centered perspective. However, latent profile analyses (LPA) enable a person-centered approach and empirically capture constellations of job types. In the present study, we used LPA to empirically identify distinct profiles of JDCS among Italian healthcare workers. Furthermore, we investigated the role of social stressors (workplace relationships and coworkers' incivility) as antecedents of these profiles and the association of these profiles with job burnout and work motivation. Results from LPA (

Indexed as

Burnout, ProfessionalJob SatisfactionMotivationHumansItalyStress, PsychologicalSurveys and QuestionnairesWorkplaceburnoutintrinsic motivationjob controljob demandsjob supportlatent profile analysissocial stressors

Identifiers

PMID33339208
PMCPMC7765581

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.